Microsoft SQL Server 2022 Administration
Duration: 5 Days (Face-to-Face or Remote-Live), or 35 hours of coursework with personal facilitation over a four week span (On-Demand)
US Price: $2495 (Face-to-Face or Remote-Live), or $1495 (On-Demand)
Delivery Options: Attend face-to-face in the classroom, remote-live or via on-demand training
Registration: Click here to view upcoming schedules and register for face-to-face sessions, click here to register for live remote attendance sessions, or click here to register for on-demand training with a start date that is convenient for you.
Description
This hands-on SQL Server 2022 Administration course provides students with the knowledge and skills to administer a SQL Server 2022 database infrastructure. You will learn how to install, configure, manage, secure, automate, monitor, and optimize SQL Server 2022. You will also learn how to create, manage, back up, and restore individual databases, transfer and replicate data, configure for high availability, and plan disaster recovery.
The primary audience for this course is individuals who will administer and maintain Microsoft SQL Server databases. They will perform database administration and maintenance as their primary area of responsibility, or they work in environments where databases play a key role in their primary job.
Comprehensive hands on exercises are integrated throughout the course to reinforce learning and develop real competency.
Prerequisites
Familiarity with database concepts, Windows desktop navigation and Transact-SQL. Attendance at our Microsoft Transact-SQL Programming course is highly recommended although not required.
Course Overview
Installation and Configuration
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Authenticating and Authorizing Users
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Assigning Server and Database Roles
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Authorizing Users to Access Resources
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Protecting Data with Encryption and Auditing
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SQL Server Recovery Models
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Backup of SQL Server Databases
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Restoring SQL Server Databases
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Tracing Access to SQL Server
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Monitoring SQL Server
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Troubleshooting SQL Server
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Importing and Exporting Data
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Maintaining High Availability of Data
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